... Precisely, any probability π can be decomposed as a pair (p, Q) where p is a probability over K and Q is a transition probability from K to L. Then, one may consider v θ as a function of (p, Q) and this function is ...
... of optimalstrategies for both players in nite turn-based sto
hasti tail games also follows from the proofs, as well as the fa
t that optimalstrategies are no more omplex than almost-sure ...
... Blackwell optimal policy f ∗ for player 1 in the MDP Γ 1 ...discount optimalstrategies for both players in the game Γ τ X without ...uniform optimalstrategies, then the algorithm ...
... Optimalstrategies in repeated games with incomplete information: the dependent case Fabien Gensbittel ∗ , Miquel Oliu-Barton † ...provided optimalstrategies for both players in finitely ...
... ∗ (v). According to Martin’s theorem [Mar98] these values are equal, and this common value is called the value of vertex v and denoted val(v) 1.3. Optimal and ǫ-optimalstrategies. By definition of ...
... both optimal in G and deterministic stationary. Therefore Max has an optimal deterministic stationary strategy in ...an optimal deterministic stationary for player Min in G it suffices to choose as a ...
... (optimalstrategies and games values) under small ...are optimalstrategies stable under small perturbations? Usually we tacitly assume that this is the case but it would be better to be ...
... Near-OptimalStrategies for Nonlinear and Uncertain Networked Control Systems Lucian Bus¸oniu Romain Postoyan Jamal Daafouz Abstract—We consider problems where a controller commu- nicates with a general ...
... synthesize optimalstrategies for a sub-class of priced timed game ...the optimal cost within k ...the optimal cost within k steps only yields an exponential number (in k and the size of the ...
... on optimal cost computation that extend the ones in [14, 1] we also tackle the problem of strategy ...the strategies (memoryless, cost-dependence) needed to achieve the optimal cost which is a ...
... erally, optimal control of fed-batch processes taking kinetics uncertainties into account (Smets, Claes, November, Bastin & Van Impe ...the optimal setpoint (Masci, Bernard & Grognard 2010) or on an ...
... end for IMED-GS 2 strategy At time step t> 1 the choice of user b t is no longer strategy-dependent but is imposed by the sequence of users (b t ) t>1 which is assumed to be deterministic in the uncontrolled ...
... the optimal policy with respect to the imperfections of the vaccine, as well as the best vaccination ...are optimal, such as, for example, an increase of the fraction of vaccinated individuals when the ...
... by RL to compute new STI strategies. The paper is structured as follows. Section 2 formal- izes the problem of learning optimalstrategies from a set of trajectories and introduces the algorithms ...
... learning optimalstrategies from a set of trajectories and introduces the algorithms used in our simula- ...determine optimal STI strategies from clinical ...
... discuss optimalstrategies of mosquito releasing and also the robustness of the properties of the solutions with respect to the modeling choices (in particular the choice of the functional we ...
... While the linear influence function is consistent with the well-established Friedkin-Johnsen model, the influence of a camp on a node might not increase linearly with the corre- sponding investment. In fact, several ...
... the optimal release strategies in order to maximize the efficiency of this ...way optimalstrategies, which allows us to tackle numerically the underlying optimization problem in a very simple ...
... the optimal policy with respect to the imperfections of the vaccine, as well as the best vaccination ...are optimal, such as, for example, an increase of the fraction of vaccinated individuals when the ...
... control strategies on the molecular level enabling cells to achieve optimal resource allocation in a robust ...control strategies exploit infor- mation on the physiological state of the cell to ...